Dung Nguyen Quang, Fusch Gerhard, Armbrust Sven, Jochum Frank, Fusch Christoph
Department of Neonatology and Pediatric Intensive Care, University Children's Hospital, Greifswald, Germany.
J Pediatr Gastroenterol Nutr. 2007 Jan;44(1):130-5. doi: 10.1097/01.mpg.0000237935.20297.2f.
To investigate the precision of published prediction equations for fat-free mass (FFM) from bioimpedance measurements in children with Crohn disease using dual-energy X-ray absorptiometry (DXA) as an in vivo gold standard.
Fat-free mass of 49 white boys and girls ages 7.3 to 16.9 y suffering from Crohn disease was measured by DXA. Body weight, height and bioimpedance measurements were also collected. FFM measured by DXA (FFM(DXA)) was compared with FFM predicted by the only 5 published prediction equations available for children and adolescents. An equation was developed for predicting FFM and was validated using a bootstrap method.
When correlating predicted FFM with FFM(DXA), Schaefer's equation showed the highest R2 (0.950), the smallest standard error of estimate (SEE) (2.05 kg) and the smallest percentage error (0.28%). Our prediction equation for estimating FFM was FFM = 0.652 Ht2/Z + 0.0385 Wt + 0.586 Age - 0.327, R2 = 0.951, SEE = 2.08, P < 0.0005, where Ht2/Z is the impedance index in cm2/ohm, Wt is body weight in kilograms, age is in years. R2 value from bootstrap method was 0.950 +/- 0.01 (95% confidence interval 0.927-0.968), indicating an acceptable validation of the derived formula.
The formula of Schaefer is the best for predicting FFM. The present study provides a new prediction equation for estimating FFM in children with Crohn disease that may be used in clinical settings in which more sophisticated body composition measuring equipments are not available.
以双能X线吸收法(DXA)作为体内金标准,研究已发表的通过生物电阻抗测量预测克罗恩病患儿去脂体重(FFM)的方程的准确性。
采用DXA测量49名年龄在7.3至16.9岁之间患克罗恩病的白人男孩和女孩的去脂体重。同时收集体重、身高和生物电阻抗测量数据。将通过DXA测量的去脂体重(FFM[DXA])与仅有的5个已发表的适用于儿童和青少年的预测方程所预测的FFM进行比较。建立了一个预测FFM的方程,并采用自举法进行验证。
将预测的FFM与FFM[DXA]进行相关性分析时,Schaefer方程的决定系数R2最高(0.950),估计标准误差(SEE)最小(2.05千克),百分比误差最小(0.28%)。我们用于估计FFM的预测方程为FFM = 0.652 Ht2/Z + 0.0385 Wt + 0.586年龄 - 0.327,R2 = 0.951,SEE = 2.08,P < 0.0005,其中Ht2/Z是阻抗指数,单位为平方厘米/欧姆,Wt是体重,单位为千克,年龄单位为岁。自举法得到的R2值为0.950±0.01(95%置信区间0.927 - 0.968),表明所推导公式的验证结果可接受。
Schaefer公式是预测FFM的最佳公式。本研究提供了一个用于估计克罗恩病患儿FFM的新预测方程,可用于没有更精密身体成分测量设备的临床环境。